Кластеризация пользователей по голосу с помощью улучшенных самоорганизующихся растущих нейронных сетей

The paper describes the use of an unsupervised learning method based on self-organizing incremental neural networks for the problem of speaker clustering. I uses a set of mel-frequency cepstral coefficients as a user model. This set is obtained by applying a special filter to the sound signal freque... View More